Abstract
Healthcare data are the essential elements of healthcare engineering, serving as the foundation to make critical clinical decisions. Healthcare data can be categorized into different types, including electronic health records, pharmacy prescriptions, health surveys, insurance records, genomics-driven trial data, etc. However, the multi-source healthcare data across diverse healthcare systems results in major obstacles to data utilization. As a result, data governance is critical for effectively organizing and managing the information assets that support healthcare institutions.
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Ding, S., Wu, D., Zhao, L., Li, X. (2022). Data Utilization and Governance in Smart Healthcare. In: Smart Healthcare Engineering Management and Risk Analytics. AI for Risks. Springer, Singapore. https://doi.org/10.1007/978-981-19-2560-3_3
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DOI: https://doi.org/10.1007/978-981-19-2560-3_3
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